MLOps Engineer – Data Analytics Platform
Tasks
- Collaborate with stakeholders to deliver scalable secure and cost efficient solutions
- Develop production ML templates
- Develop workflow orchestration with Airflow
- Ensure scalability reliability and reproducibility of ML workloads
- Integrate ML pipelines with CI CD
- Manage model lifecycle with MLflow
- Migrate ML batch platform to Google Cloud Platform
- Provide on-call support
- Refactor ML pipelines for cloud native environments
- Troubleshoot and optimize ML pipelines
Perks/Benefits
Skills/Tech-stack
Apache Airflow | BigQuery | CI/CD | Cloud Storage | Cloud platform | Data Pipelines | DevOps | Docker | ETL | Google Cloud | Google Cloud Platform | Kedro | Kubernetes | Logging | MLflow | Machine Learning | Monitoring | Spark | Troubleshooting | Vertex AI | Workflow Orchestration
Education
N/A
Roles
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